3D Localization of Neurons in Bright-Field Histological Images

被引：0

作者：

Stajduhar, Andrija ^{[1
,2
,3
]}

Lepage, Claude ^{[3
]}

Judas, Milos ^{[1
]}

Loncaric, Sven ^{[2
]}

Evans, Alan C. ^{[3
]}

机构：

[1] Univ Zagreb, Sch Med, Croatian Inst Brain Res, Salata 3, Zagreb, Croatia

[2] Univ Zagreb, Fac Elect Engn & Comp, Unska 3, Zagreb, Croatia

[3] McGill Univ, Montreal Neurol Inst, 3801 Univ St, Montreal, PQ, Canada

来源：

PROCEEDINGS OF ELMAR-2018: 60TH INTERNATIONAL SYMPOSIUM ELMAR-2018 | 2018年

关键词：

High-resolution Imaging; Digital Microscopy; Immunohistochemistry; SEGMENTATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a method for inferring the depth of neurons found in a bright-field microscopic image of a histological section of a human brain, digitized at high resolution in multiple planes along the z-axis. Individual neuron bodies are segmented and tracked throughout the depth of the whole image stack and placed at the appropriate z-level in the stack based on variations in image sharpness.

引用

页码：75 / 78

页数：4

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